Using Fully Homomorphic Encryption for Statistical Analysis of Categorical, Ordinal and Numerical Data
Wenjie Lu, Shohei Kawasaki, Jun Sakuma
2017Year
105Citations
4Top-tier citations
Abstract
Author(s): Wen-jie Lu, Shohei Kawasaki, Jun Sakuma Download: Paper (PDF) Date: 27 Feb 2017 Document Type: Reports Additional Documents: Slides Video Associated Event: NDSS Symposium 2017 Abstract: In recent years, there has been a growing trend towards outsourcing of computational tasks with the development of cloud services. The Gentry s pioneering work of fully homomorphic encryption (FHE) … Continued
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Cited by top-tier papers4
- PEGASUS: Bridging Polynomial and Non-polynomial Evaluations in Homomorphic EncryptionWen-jie Lu, Zhicong Huang, Cheng Hong, Yiping Ma et al.S&P 2021 · 139 citations
- Optimizing homomorphic evaluation circuits by program synthesis and term rewritingDongKwon Lee, Woosuk Lee, Hakjoo Oh, Kwangkeun YiPLDI 2020 · 30 citations
- BumbleBee: Secure Two-party Inference Framework for Large TransformersWen-jie Lu, Zhicong Huang, Zhen Gu, Jingyu Li et al.NDSS 2025
- Efficient Ranking, Order Statistics, and Sorting under CKKSFederico Mazzone, Maarten H. Everts, Florian Hahn, Andreas PeterUSENIX Security 2025
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